| Icassp 2023 deep noise suppression challenge H Dubey, A Aazami, V Gopal, B Naderi, S Braun, R Cutler, A Ju, ... IEEE Open Journal of Signal Processing, 2024 | 170 | 2024 |
| Unsupervised learning approach to feature analysis for automatic speech emotion recognition SE Eskimez, Z Duan, W Heinzelman 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 79 | 2018 |
| Speech driven talking face generation from a single image and an emotion condition SE Eskimez, Y Zhang, Z Duan IEEE Transactions on Multimedia 24, 3480-3490, 2021 | 70 | 2021 |
| Generating talking face landmarks from speech SE Eskimez, RK Maddox, C Xu, Z Duan Latent Variable Analysis and Signal Separation: 14th International …, 2018 | 61 | 2018 |
| Personalized speech enhancement: New models and comprehensive evaluation SE Eskimez, T Yoshioka, H Wang, X Wang, Z Chen, X Huang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 58 | 2022 |
| Improving readability for automatic speech recognition transcription J Liao, S Eskimez, L Lu, Y Shi, M Gong, L Shou, H Qu, M Zeng ACM Transactions on Asian and Low-Resource Language Information Processing …, 2023 | 57 | 2023 |
| A Federated Approach in Training Acoustic Models. D Dimitriadis, RG Ken'ichi Kumatani, R Gmyr, Y Gaur, SE Eskimez Interspeech, 981-985, 2020 | 43 | 2020 |
| Speechx: Neural codec language model as a versatile speech transformer X Wang, M Thakker, Z Chen, N Kanda, SE Eskimez, S Chen, M Tang, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 40 | 2024 |
| Front-end speech enhancement for commercial speaker verification systems SE Eskimez, P Soufleris, Z Duan, W Heinzelman Speech Communication 99, 101-113, 2018 | 38 | 2018 |
| Speech super resolution generative adversarial network SE Eskimez, K Koishida ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 35 | 2019 |
| Adversarial training for speech super-resolution SE Eskimez, K Koishida, Z Duan IEEE Journal of Selected Topics in Signal Processing 13 (2), 347-358, 2019 | 31 | 2019 |
| Fast real-time personalized speech enhancement: End-to-end enhancement network (E3Net) and knowledge distillation M Thakker, SE Eskimez, T Yoshioka, H Wang arXiv preprint arXiv:2204.00771, 2022 | 30 | 2022 |
| Noise-resilient training method for face landmark generation from speech SE Eskimez, RK Maddox, C Xu, Z Duan IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 27-38, 2019 | 28 | 2019 |
| Human listening and live captioning: Multi-task training for speech enhancement SE Eskimez, X Wang, M Tang, H Yang, Z Zhu, Z Chen, H Wang, ... arXiv preprint arXiv:2106.02896, 2021 | 26 | 2021 |
| GAN-Based Data Generation for Speech Emotion Recognition. SE Eskimez, D Dimitriadis, R Gmyr, K Kumanati INTERSPEECH, 3446-3450, 2020 | 26 | 2020 |
| End-to-end generation of talking faces from noisy speech SE Eskimez, RK Maddox, C Xu, Z Duan ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 25 | 2020 |
| Zero moment point based pace reference generation for quadruped robots via preview control T Akbas, SE Eskimez, S Ozel, OK Adak, KC Fidan, K Erbatur 2012 12th IEEE International Workshop on Advanced Motion Control (AMC), 1-7, 2012 | 25 | 2012 |
| One model to enhance them all: array geometry agnostic multi-channel personalized speech enhancement H Taherian, SE Eskimez, T Yoshioka, H Wang, Z Chen, X Huang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 22 | 2022 |
| Emotion classification: how does an automated system compare to naive human coders? SE Eskimez, K Imade, N Yang, M Sturge-Apple, Z Duan, W Heinzelman 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 21 | 2016 |
| Federated transfer learning with dynamic gradient aggregation D Dimitriadis, K Kumatani, R Gmyr, Y Gaur, SE Eskimez arXiv preprint arXiv:2008.02452, 2020 | 17 | 2020 |
Zhiyao DuanElectrical and Computer Engineering, University of RochesterVerified email at rochester.edu
